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Life And Death: Quantifying The Risk Of Heart Disease With Machine Learning, Jack Scott Glienke
Life And Death: Quantifying The Risk Of Heart Disease With Machine Learning, Jack Scott Glienke
Honors Program Theses
Coronary heart disease has long been a key area of focus in the discussion of public health. As such, numerous studies have been conducted throughout history with the sole intention of identifying risk factors leading to the onset of cardiovascular conditions. A plethora of statistical procedures can be used to identify an individual’s risk of developing heart disease, yet regression models tend to be the default tool used by researchers. Using the data obtained from the most influential cardiovascular study to date, the Framingham Heart Study, this analysis uses machine learning techniques to generate and test the predictive power of …
An Analysis Of Equity-Linked Insurance Pricing, Clara C. Ortgies
An Analysis Of Equity-Linked Insurance Pricing, Clara C. Ortgies
Honors Program Theses
This comprehensive study of equity-linked insurance options will explore the pricing of certificates of deposit and life insurance options using a present value method. With this study, I will be able to construct and price various equity-linked insurance products, with a focus on life insurance, that insurance companies could then sell to prospective customers. I will use concepts and formulas based in actuarial math, probability theory, and financial engineering in order to construct, price, and analyze new equity-linked insurance products. The fundamental methodology I will use involves applying pricing theory based on the expected value of the insurance payoff present …